Principal Architect Data Engineering

Title: Architect/Senior Architect/Principal Architect Data Engineering (Gen AI CoE)

Location: Chennai/Bangalore/Hyderabad

Experience: 10+

Employment Type: Full-Time

Role Overview:

As a Architect/Senior Architect/Principal Data Architect – GenAI, you will lead the design and implementation of enterprise-scale Generative AI and data-driven intelligence solutions by combining your strong foundation in data engineering with cutting-edge AI technologies. You will play a key role in shaping the organization’s GenAI strategy, architecting end-to-end solutions that leverage large language models (LLMs), RAG, Agentic AI solution frameworks to drive innovations and solve complex Data Engineering problems for modern data platforms.

Building upon your prior experience in data architecture and engineering, you will design scalable data pipelines, ensure robust data governance, and enable accelerated development and modernization of traditional data ecosystems to modern data platform. You will also act as a trusted advisor to clients and internal teams, driving innovation and establishing best practices across GenAI solutioning.

Curious about the role?

Strategic, Leadership thinking, Dynamic mind, Proactive, eager to learn and pick-up new tech very quickly.

SME with Hands-On and Lead a small team for quick prototypes and PoCs & PoVs

Very strong skills in Python, with experience in building scalable and optimized applications with open-source libraries.

Very Strong understanding of Data Engineering concepts: Experience and understanding of

Designing and maintaining the data pipeline automations, Ingestion, data processing, optimizations ..etc.

Data structure & modelling

Data quality

Data governance

Operations

GenAI Experience:

Hands-on expertise with LLMs, Prompt Techniques, Retrieval-augmented generation (RAG) techniques

Strong in agentic AI solutions frameworks, AgentOps

Finetuning Open source LLMs and fine-tuning frameworks

Experience with Cloud & Platforms: Familiarity with AWS, GCP, Azure, Databricks and Snowflake

Educational Background:

• Bachelor or Master’s degree in Computer Science, Engineering, or a related field